Product catalogue
RETIRED Fractional Cover 25 v. 2.0.0
<b>This record was retired 29/03/2022 with approval from S.Oliver as it has been superseded by eCat 145498 Geoscience Australia Landsat Fractional Cover Collection 3</b>
The Fractional Cover (FC) algorithm was developed by the Joint Remote Sensing Research Program and is described in described in Scarth et al. (2010). It has been implemented by Geoscience Australia for every observation from Landsat Thematic Mapper (Landsat 5), Enhanced Thematic Mapper (Landsat 7) and Operational Land Imager (Landsat 8) acquired since 1987. It is calculated from surface reflectance (SR-N_25_2.0.0).
FC_25 provides a 25m scale fractional cover representation of the proportions of green or photosynthetic vegetation, non-photosynthetic vegetation, and bare surface cover across the Australian continent. The fractions are retrieved by inverting multiple linear regression estimates and using synthetic endmembers in a constrained non-negative least squares unmixing model. For further information please see the articles below describing the method implemented which are free to read: -
Scarth, P, Roder, A and Schmidt, M 2010, 'Tracking grazing pressure and climate interaction - the role of Landsat fractional cover in time series analysis', Proceedings of the 15th Australasian Remote Sensing and Photogrammetry Conference,
Schmidt, M, Denham, R and Scarth, P 2010, 'Fractional ground cover monitoring of pastures and agricultural areas in Queensland', Proceedings of the 15th Australasian Remote Sensing and Photogrammetry Conference
A summary of the algorithm developed by the Joint Remote Sensing Centre is also available from the AusCover website: http://data.auscover.org.au/xwiki/bin/view/Product+pages/Landsat+Fractional+Cover
Fractional cover data can be used to identify large scale patterns and trends and inform evidence based decision making and policy on topics including wind and water erosion risk, soil carbon dynamics, land management practices and rangeland condition. This information could enable policy agencies, natural and agricultural land resource managers, and scientists to monitor land conditions over large areas over long time frames.
Simple
Identification info
- Date (Publication)
- 2016-09-13T00:00:00
- Date (Revision)
- 2017-11-09T04:23:59
- Date (Revision)
- 2018-02-20T20:38:17
- Date (Superseded)
- 2022-03-29
- Edition
-
1
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/102285
- Cited responsible party
-
Role Organisation / Individual Name Details Owner Commonwealth of Australia (Geoscience Australia)
Voice
- Status
- Superseded
- Point of contact
-
Role Organisation / Individual Name Details Owner Commonwealth of Australia (Geoscience Australia)
Voice Custodian Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Point of contact Commonwealth of Australia (Geoscience Australia)
Voice
- Topic category
-
- Geoscientific information
Extent
))
Temporal extent
- Time period
- 2016-09-13
- Maintenance and update frequency
- As needed
Resource format
- Title
-
Product data repository: Various Formats
- Website
-
Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- Australian and New Zealand Standard Research Classification: Fields of Research
-
-
Earth Sciences
-
- Keywords
-
-
NCI
-
- Keywords
-
-
Satellite imagery
-
- Keywords
-
-
Landsat 5
-
- Keywords
-
-
Landsat 7
-
- Keywords
-
-
Landsat 8
-
- Keywords
-
-
Earth Observations from Space
-
- Keywords
-
-
fk4
-
- Keywords
-
-
Fractional Cover
-
- Keywords
-
-
Derived
-
- Keywords
-
-
Published_External
-
Resource constraints
- Title
-
Creative Commons Attribution 4.0 International Licence
- Alternate title
-
CC-BY
- Edition
-
4.0
- Access constraints
- License
- Use constraints
- License
Resource constraints
- Title
-
Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Language
- English
- Character encoding
- UTF8
Distribution Information
- Distributor contact
-
Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice
- OnLine resource
-
Geoscience Australia Landsat Fractional Cover Collection 3
Geoscience Australia Landsat Fractional Cover Collection 3
- Distribution format
-
Resource lineage
- Statement
-
Nationally consistent information about fractional cover dynamics is essential to addressing a range of natural resource challenges. These include land management practices, air quality, soil erosion, rangeland condition and soil carbon dynamics.
The fractional cover algorithm was developed by the Joint Remote Sensing Research Program (JRSRP) and is described in Scarth et al. (2010). While originally calibrated in Queensland, a large collaborative effort between The Department of Agriculture ¿ ABARES and State and Territory governments to collect additional calibration data has enabled the calibration to extend to the entire Australian continent.
FC_25 was made possible by new scientific and technical capabilities, the collaborative framework established by the Terrestrial Ecosystem Research Network (TERN) through the National Collaborative Research Infrastructure Strategy (NCRIS), and collaborative effort between state and Commonwealth governments.
The long term acquisition plan supported by the Landsat program, in combination with Geoscience Australia¿s longstanding investment in the on-ground infrastructure required to capture Landsat imagery has made this product possible. Geoscience Australia¿s partnership with the National Computing Infrastructure facilities in conjunction with the development of the Australian Geoscience Data Cube ¿ a high performance data framework ¿ makes it possible to analyse the continental archive of fractional cover data.
FC_25 provides a consistent classification which will be an important foundation for land cover mapping and monitoring across Australia. It is a resource for natural resource managers, land surface process modellers, carbon modellers, rangeland managers, ecosystem scientists and policy makers.
- Hierarchy level
- Dataset
- Description
-
Please refer to the lineage section.
Reference System Information
- Reference system identifier
-
EPSG/GDA94 / Australian Albers (EPSG: 3577)
- Title
-
European Petroleum Survey Group (EPSG)
Geodetic Parameter Registry
- Date (Publication)
- 2008-11-12T00:00:00
- Cited responsible party
-
Role Organisation / Individual Name Details European Petroleum Survey Group
http://www.epsg-registry.org/
Metadata constraints
- Title
-
Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
-
urn:uuid/fef25026-23be-474a-9e72-52fdfb7c2cf6
- Title
-
GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
-
Role Organisation / Individual Name Details Point of contact Geoscience Australia
Voice
- Title
-
GA Earth Observation - Derived
- Edition date
- 2016-01-01T00:00:00
- Citation identifier
- 4c7e5266-feb2-4103-9377-10f5605d9d89
Type of resource
- Resource scope
- Dataset
Alternative metadata reference
- Title
-
Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/102285
- Date info (Revision)
- 2018-04-20T05:50:33
- Date info (Creation)
- 2016-09-13T09:33:37
Metadata standard
- Title
-
AU/NZS ISO 19115-1:2014
Metadata standard
- Title
-
ISO 19115-1:2014
Metadata standard
- Title
-
ISO 19115-3
- Title
-
Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
-
Version 2.0, September 2018
- Citation identifier
- https://pid.geoscience.gov.au/dataset/ga/122551